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YPO Technology Network AI Brief: Daily Summaries Delivered
by Stephen Forte
AI moves fast. Your briefing should move faster. The YPO Technology Network AI Brief is a daily breakdown of the AI developments that actually matter to your business. No hype, no jargon, no filler — just what changed, what it costs you or saves you, and what to tell your team on Monday. Hosted by Stephen Forte for the leaders who don't have time to chase the news but can't afford to miss it.
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- 2 days ago7 min
Who Gets The Power Tools?
Goldman Sachs just limited who can use its strongest coding agents. Stephen Forte asks who should get those power tools in your company. In this episode, Stephen Forte covers: Goldman's October change. Bloomberg (Nov 2): Anthropic's Claude Code and Microsoft's GitHub coding tools are now for engineers. Traders and bankers lost access; the quant "strats" are exempt. Spokesperson Nick Carcaterra said that after experimenting on productivity and risk, they put the tools with those best suited to leverage them long term. A real shift. In July, CIO Marco Argenti had praised vibe coding by traders and bankers who built tools and handed them to one of 12,000 engineers to polish. Earlier in 2026, Goldman had already restricted Claude for Hong Kong staff over confidential data going to third-party AI tools. Respect the bank. Stephen will not question Goldman's call. Banking's regulatory environment is unique. Pulling coding agents back to engineers after experimentation is risk management where a bad tool can leave with client data. Most companies are not Goldman. Builders outside engineering should get coding agents, 100%. Tools should go first to subject matter experts, who truly understand the problem. IT's job. An engineer fixing accounting without understanding accounting is a mistake. IT should support subject matter experts, lift their skills and manage their code inside the company's accepted stack. The real risk. Neutering your most experienced people and denying them modern tools. Those people will leave for a place that will give them the tools. Stay inside the approved stack. Non-confidential prototyping elsewhere is usually fine. Operate inside tools the company already approved. Even Microsoft Copilot is getting better every day. Replit's counterpoint. CEO Amjad Masad said agents on employee laptops are a systemic security risk and the ban hammer is coming down. Control what agents can touch and where they run; don't confuse that with locking out subject matter experts. Juniors and judgment. Partner Chris Churchman warned heavy AI use can degrade reasoning. Stephen's view: juniors learn through structured use of AI. AI does busy work and calculations; people own judgment. A large language model cannot replace human judgment yet. Tokens as expenses. Garry Tan of Y Combinator spends $100K to $200K a year on tokens. Stephen's rule: no hard caps by role. A gate for everybody through management, with deliverables that show value, same as justifying a $2,000 business trip. Sources: Bloomberg Law (Nov 2, 2026): https://news.bloomberglaw.com/capital-markets/goldman-restricts-traders-and-bankers-from-using-some-ai-tools Quartz (Nov 2, 2026): https://qz.com/goldman-sachs-restricts-ai-coding-tools-traders-bankers-110226 CNBC, Chris Churchman (Aug 24, 2026): https://www.cnbc.com/2026/08/24/goldman-sachs-ai-partner-danger-skills.html Tech in Asia, Goldman Hong Kong Claude restriction: https://www.techinasia.com/news/goldman-sachs-restricts-ai-coding-tools-engineers The New Stack, Amjad Masad (Nov 3, 2026): https://thenewstack.io/ai-coding-agents-security/ TechCrunch, Garry Tan tokens (Nov 2, 2026): https://techcrunch.com/2026/11/02/y-combinators-garry-tan-uses-ai-agents-so-much-he-spends-up-to-200k-a-year-on-tokens/ The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 3 days ago6 min
Write The Rules Down For The Machine
An agent can't follow a rule it can't read, and at most companies the rules live in PDFs, shared drives and people's heads. Stephen Forte walks through the step most companies skip before handing work to an agent: writing one process's rules down, in one place a machine can read. In this episode, Stephen Forte covers: Machine-Readable Government. On Nov 2, Abu Dhabi and OpenAI rewrote a defined set of policies so an AI system can check a case against the rules and link each recommendation to the exact clause. An official verifies, corrects or overrides, and a person makes the final decision. The first pilot. Food import registrations at Abu Dhabi's food safety authority: about 20,000 a year, drawing on 1,400 policy documents, some over 700 pages. Routine checks that took days now take minutes. Construction permits, licensing, HR compliance and procurement are next. The caveat. It is a self-announced pilot with no independent results and no published error or override rates. The lesson doesn't depend on them. Your company's permits. Discount approvals, valid expenses, vendor setup, new-hire tasks, what your team can promise a client. Those are rules, applied every day. Where the rules live. Wikis, PDFs, forms, SharePoint, employee manuals. A good employee knows who to ask. An agent applies whatever version it's given, with complete confidence. Stale copies, not conflicts. What Stephen sees most is people with an old version of a rule, or none, who email around for the answer. The answer depends on who they asked. One queryable repository. In his day job, rules of engagement, process instructions and SOPs live in machine-readable files in one shared project that Stephen maintains. One version, changed there first, and the place an agent should start. What machine-readable means. Plain text, one rule per section, a named owner, a date, and limits as numbers, not adjectives. "Discounts over 15% need regional VP sign-off" is checkable. "Large discounts need approval" is not. It has to come from the top. About 50 Samsung senior executives built personal knowledge bases before meeting Sam Altman, and Siemens CEO Roland Busch said it has to come from the top. If the CEO asks the repository first, the team follows. Where to start. Pick one high-volume process, gather every version, give it one owner, and have a large language model merge it, flag disagreements and list unanswered questions. Put it in a shared Claude or ChatGPT project, or a SharePoint site Copilot reads. For a month, answer emails with "ask the repository." Sources: Abu Dhabi Media Office (Nov 2, 2026): https://www.mediaoffice.abudhabi/en/crown-prince-news/khaled-bin-mohamed-bin-zayed-meets-sam-altman-and-witnesses-signing-of-agreements-with-openai/ CXO Insight Middle East, OpenAI and Abu Dhabi launch Machine-Readable Government: https://www.cxoinsightme.com/business/industries/government/openai-and-abu-dhabi-government-launch-worlds-first-ai-native-machine-readable-government-initiative/ AGBI, Abu Dhabi partners with OpenAI to speed up business approvals: https://www.agbi.com/ai/2026/11/abu-dhabi-partners-with-openai-to-speed-up-business-approvals/ Korea Herald, Samsung executives meet Altman (Oct 31, 2026): https://www.koreaherald.com/article/10921312 Korea Herald, Siemens CEO Roland Busch (Nov 1, 2026): https://www.koreaherald.com/article/10921699 The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 4 days ago12 min
Mistakes, Not Villains
Most exposure in a company comes from mistakes, not villains: access opened for a good reason and never closed. Attackers now find those leftovers in hours. In this episode, Stephen Forte covers: Binance. About $6.3B stolen. Binance now says it was a months-long campaign the FBI attributes to North Korea, starting with a fake job interview and a malware-laced coding test. AI speed. Storm-0940 reached privileged cloud access in under three hours. Unit 42 saw two weeks of attack work done in under ten. Day job. What his team finds in client tenants, and when to call a specialist. The full checklist (ask for a number, a list, or a screenshot): 1. Global/super admins, cloud root, registrar, DNS owners, by name. 2. Standing vs just-in-time admin rights; separate admin accounts. 3. High-privilege service accounts and app registrations, with owners. 4. MFA % enforced, not registered; exceptions and approvers. 5. Phishing-resistant MFA for admins and finance; legacy auth blocked. 6. Accounts idle 90+ days, ex-staff still enabled, guests. 7. Last access review on finance, HR, CRM, customer data. 8. Project access opened in 12 months, and closed? 9. Secrets in repos and history; how many still work? 10. Where API keys live; rotation dates; revoke at the issuer. 11. Every AI-provider key and who pays. 12. Domains and subdomains (crt.sh), each with an owner. 13. Test, staging, demo servers still running with real data. 14. Old sites and WordPress installs patched or retired. 15. Shodan view of your IPs: open databases, admin panels. 16. Quick-built apps on Supabase/Firebase: row-level security, no secrets in front end. 17. Public buckets and "anyone with the link" shares. 18. Anything that can delete production databases or sites. 19. Which notetakers are in use, sanctioned or personal. 20. Transcript default sharing, who sees all, retention. 21. Board, HR, legal, M&A calls: no bot or restricted. 22. Third-party OAuth apps on mail, files, CRM; admin consent. 23. Top 10 vendors: recent breaches, tokens rotated. 24. Immutable backups and last tested restore, incl. M365/Google. 25. DMARC at enforcement, SPF, DKIM on every domain. 26. Bank-detail changes: call back a number on file, dual approval. 27. External auto-forwarding blocked; inbox-rule alerts. 28. Log retention and alerts (new admin, MFA off, mass download). 29. Endpoint protection on every laptop. 30. Written incident plan; who calls insurer, counsel, IR firm. 31. Tabletop exercise with the CEO in the last 12 months. 32. Quarterly one-page cyber report to the board. 33. Cyber insurance answers match reality. Free tools: Secure Score, ScubaGear, ScubaGoggles, Maester, Zero Trust Assessment, gitleaks, TruffleHog, crt.sh, Shodan, Prowler, Have I Been Pwned. Specialists: active compromise means an incident response firm; customer money or a raise or sale means a pen test; no one watching at night means MDR. Sources: CoinDesk on Binance (Nov 3): https://www.coindesk.com/business/2026/11/03/binance-s-usd6-3-billion-hack-began-with-a-fake-job-interview-exchange-says Microsoft on Storm-0940: https://www.microsoft.com/en-us/security/blog/2026/10/21/storm-0940-uses-artex-agentic-ai-connectwise-supply-chain-compromise/ The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 5 days ago6 min
Who Made That Call?
When an AI agent does the analysis, it also makes some of the decisions, and most of the time you will not notice which ones. A new Anthropic study shows how that happens, and Stephen Forte walks through the two habits he uses to catch it: an audit pass and an adversarial pass. In this episode, Stephen Forte covers: The study. Fifty professional analysts did a real statistics project with Claude Code. On four judgment calls the agent was set to lean one way, picked by coin flip. Analysts went with the lean 86% of the time. No lies, just one side. The agent argued for one option and usually spoke first. 77% of analysts explained their choices with the agent's arguments, only 15% credited it, and none suspected the lean. The limits, and the bigger risk. One task, one field, one model, an amplified lean. But with nothing planted, the standard agent made the same choices in 91% of runs. The risk is the model's default habits quietly becoming everyone's judgment. What Stephen sees. Probing often finds far less factual basis behind an answer than assumed, and an audit of anything material always finds mistakes, big or small. The audit pass. At the end, ask for a decision audit: every judgment call, what was passed on, what data was left out, where it was unsure, what is missing, what would flip the conclusion, and which calls you made versus accepted. What is missing. A wrong number jumps out. A missing customer segment or a missing year of data does not. One honest caveat. A model explaining itself afterward can be plausible yet misleading. Treat the audit as a list of choices, not proof of why. The adversarial pass. Ask who will read it and what they would poke holes in: an investor, an auditor, the investment committee. Run it in a fresh session or a different model. In one study, debate beat a single model arguing one side, 88% to 78%. Build it into the workflow. Save both prompts one click away in Claude, ChatGPT, GitHub Copilot or Grok Bot, make it a checklist step, name the human-owned calls in advance, and write your own view first on the big ones. Skip it for a pasta recipe. Sources: Anthropic, Agents and expert judgment calls (Oct 27, 2026): https://www.anthropic.com/research/agents-judgment-calls Herdağdelen, Joren, Tamkin, Who's Aligned to Whom? (paper): https://www-cdn.anthropic.com/519c17a5d23a794e8b6d50a854048d0b61e0d73a.pdf Decrypt, AI can quietly influence experts' decisions: https://decrypt.co/382065/ai-can-quietly-influence-experts-decisions Turpin et al., Language Models Don't Always Say What They Think (2023): https://arxiv.org/abs/2305.04388 Anthropic, Reasoning models don't always say what they think (Apr 2025): https://www.anthropic.com/research/reasoning-models-dont-say-think Khan et al., debate vs a single consultant (ICML 2024): https://arxiv.org/abs/2402.06782 The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 6 days ago6 min
The Platform Bet And The Amazon Question
The biggest cloud platforms are spending around $800 billion on data centers and chips this year, and if your business runs on one of them, that is mostly good news. Plus, Amazon keeps AI shopping agents out of its store while Walmart and Shopify open the door. Who gains is an open question. In this episode, Stephen Forte covers: Scale as a moat. Microsoft, Google, Amazon and a few others are solidifying their positions with capacity, the same story we saw with cloud compute, now applied to AI. You want your platform to win. When it keeps investing, the tools you already use improve without you switching. The real risk is a platform that stops investing. Would you choose it again today? Look at where your data, logins and permissions live, and which assistant your people open every morning. Make sure it is one you would bet on for ten years. Cheaper, capable models for boring work. OpenAI's GPT-6.1 Terra, released October 26, works a computer at about half the price of the tier before it. Accounts payable, accounts receivable and customer feedback are where it earns its keep first. Stephen's own AI bill followed a bell curve and is getting near flat again. Amazon keeps the agents out. A viral post on X about Grok Bot, Amazon cutting off Meta's Muse, a public list naming ChatGPT, Claude, Perplexity, Copilot and Grok Bot, and Andy Jassy saying outside agents are not yet as convenient as going direct. Others open the door. Walmart's way in for approved agents with spending limits and normal returns, Shopify's Shop Pay inside agents, and Paul Graham calling the ban the first real opening for an Amazon competitor. An open question. Amazon's lead is delivery, returns and trust, not the storefront. Does this open the door for independent sellers and second and third tier retailers, or do customers stay where delivery is fastest? If you sell direct. Make your catalog readable by agents and buyable on your terms. When a customer's agent goes looking, will it find you? Sources: Hyperscaler spending (Reuters via Investing.com): https://www.investing.com/news/economy-news/earnings-flood-fed-meeting-will-test-rickety-ai-market-rally-4971185 OpenAI, GPT-6.1 Terra (Oct 26, 2026): https://openai.com/index/introducing-gpt-6-1-terra Viral X post (Oct 30, 2026): https://x.com/0xjmori/status/2116167971680723376 GeekWire, Amazon blocks Meta's Muse AI assistant (Sep 2026): https://www.geekwire.com/2026/amazon-blocks-metas-muse-ai-assistant-in-new-standoff-over-agentic-shopping/ Amazon robots.txt (checked Oct 30, 2026): https://www.amazon.com/robots.txt Fortune, Amazon CEO on shopping agents (Oct 29, 2026): https://fortune.com/2026/10/29/amazon-ceo-says-shopping-agents-like-metas-muse-not-great/ Walmart, agents shopping for customers (Oct 21, 2026): https://corporate.walmart.com/news/2026/10/Making-It-Possible-for-Agents-to-Shop-on-Behalf-of-Customers Shopify Fall '26 Edition (Oct 28, 2026): https://www.shopify.com/news/fall-26-edition-merchant Business Insider, Paul Graham (Oct 2026): https://www.businessinsider.com/paul-graham-amazon-ai-agent-ban-rival-2026-10 The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 1 weeks ago6 min
Your ERP Is Getting A New Interface
Your ERP is getting a new interface, and it is the chat window your people already have open. Stephen on OpenAI and Oracle bringing Fusion and NetSuite into ChatGPT, how connectors and skills turn Claude, ChatGPT and Grok Bot into the front end to your business, why the system of record still owns the truth, and how to set thresholds for what an agent can finish on its own. In this episode, Stephen Forte covers: The news. On October 27, OpenAI and Oracle announced that apps and data from Fusion and NetSuite are coming into ChatGPT, with approved workflows running under the company's existing permissions. Still in development, no general availability date. Treat it as a direction, not a rollout. AI arrives at the systems that move money. For many companies, Fusion or NetSuite is where finance, procurement and month end closing actually happen. This is not a side pilot. Connectors and skills. Claude, ChatGPT, Grok Bot and others reach outside systems through connectors, mostly built on the open Model Context Protocol. Skills teach the assistant how your company does a specific job. Together they make a general purpose assistant the front end to your business. Meet people where they work. Nobody wants another interface. Hard systems get worked around in spreadsheets. Stephen's own company uses Claude as the front end for the applications it builds. The system of record owns the truth. The chat is where work starts. The ERP is where work is recorded. Decide what the assistant can see, draft and change, and give it the same permissions the person already has. Thresholds for agent action. Stephen's Outlook Drafts example from Grok Bot. Low risk reads from the chat, drafts reviewed in the system itself, tested workflows run end to end with every step logged. Start small. Pick one painful workflow, connect with view only access, write the skill, watch it for a few weeks, then decide what it may change. Sources: OpenAI, Oracle apps in ChatGPT (Oct 27, 2026): https://openai.com/index/oracle-apps-in-chatgpt Oracle news, AI World / OpenAI collaboration (Oct 27, 2026): https://www.oracle.com/news/announcement/ai-world-oracle-reinvents-enterprise-computing-for-the-ai-era-with-openai-2026-10-27/ Oracle blog, Introducing Oracle AI Workspace (coming soon, in development): https://blogs.oracle.com/ai-and-datascience/introducing-oracle-ai-workspace Model Context Protocol (open standard for connectors): https://modelcontextprotocol.io The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 1 weeks ago10 min
Read The S-1 Like A Buyer
Anthropic opened its books. Read the S-1 as a buyer, not an investor. Stephen on eighty percent consumption billing, why the meter will flatten, where labs go next into vertical apps, why the incumbent still wins, and a short lightning beat on Microsoft's voluntary buyouts. In this episode, Stephen Forte covers: Read the filing as a customer. Anthropic's S-1 with the U.S. Securities and Exchange Commission is being read as an investor story. The useful pages describe how the company gets paid by people like us. Planned Nasdaq ticker A N T is filing fact only. This is not Investor's Corner. Eighty percent consumption. First half of twenty twenty-six, about sixteen point three billion U.S. dollars in revenue. About eighty percent usage meters. Subscriptions about twenty percent. Your bill grows with use. That is a utility, not a seat license with a smile. Falling stickers and big compute hooks. Nearly half of twenty twenty-five revenue came through Amazon, Google, and Microsoft cloud marketplaces. Same day OpenAI cut a computer-use model price in half on Amazon Bedrock and inside GitHub Copilot. Anthropic is on the hook for on the order of half a trillion U.S. dollars in future compute. Do not lock a long fixed price while the sticker is still falling in half. The meter will flatten. Open weight models and corporations standing up their own hardware. Personal token spend from about twelve thousand U.S. dollars a month to about twelve hundred. Harnesses like Grok Bot should pick the gear. Wrong tool is still wrong tool, even when the wrong tool is a large language model wired into work that belonged on n8n. Labs chase vertical apps. Claude Dashboards gunning for Tableau and Power BI. Claude Legal going after Harvey. When the buffet gets too expensive, sell the kitchen. The incumbent still wins. Zoom went crazy in COVID. More people now on Teams, free inside the subscription. Windows can be crappy next to a Mac and still win on corporate stickiness. A brand-new firm notebook that takes eleven minutes to boot still gets bought. Three renewal numbers. What you paid. What it bought in redesigned work. How much can leave the frontier meter this year. Then negotiate. Lightning: Microsoft voluntary exits. About sixty thousand eligible employees. Redesign the work first. Headcount second. Prefer a fixed AI cost you can map before the month ends. Sources: Anthropic S-1 (SEC EDGAR): https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm Fortune, Anthropic's S-1 overview: https://fortune.com/2026/10/26/anthropics-s-1/ CNBC live updates (consumption mix, marketplaces): https://www.cnbc.com/2026/10/26/anthropic-ipo-live-updates-ai-s-1-filing.html OpenAI, GPT-6.1 Terra: https://openai.com/index/introducing-gpt-6-1-terra AWS, GPT-6.1 Terra on Amazon Bedrock: https://aws.amazon.com/about-aws/whats-new/2026/10/openai-gpt-6-1-terra-on-amazon-bedrock/ Microsoft blog, voluntary exit offer (Oct 26, 2026): https://blogs.microsoft.com/blog/2026/10/26/introducing-a-voluntary-exit-offer/ CNBC, Microsoft voluntary buyouts: https://www.cnbc.com/2026/10/26/microsoft-msft-voluntary-buyouts.html The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
- 1 weeks ago5 min
Your Keywords Still Matter — The Scoreboard Changed
Keywords still matter. The single rankings and sessions scoreboard does not. Stephen on why SEO is not dead after the answer box, why CEOs need two scoreboards under one owner, and the three asks he would make in a marketing room frozen in twenty nineteen. Homework: name the owner, open the Generative AI report, and test five real buyer questions. In this episode, Stephen Forte covers: The PDF is winning. The customer already left. Board packs still celebrate ranking number one while buyers get answers in a Google box or a ChatGPT paragraph, and the brand never gets named. Google did not invent a new web. AI Overviews still run on the same Search ranking systems. Keywords stay the spine. The page still has to be indexed and readable if you want a supporting link in the answer. Widen the scoreboard. Classic rankings and clicks plus whether you show up in the answer box and whether your brand is cited when the customer never hits your site. Not a zero sum game. Three asks in a frozen twenty nineteen room. A live priority keyword list mapped to what buyers actually see. Money pages that open with clear facts a model can quote. Stop celebrating wallpaper rankings with no revenue story. One owner. Two scoreboards. Usually the chief marketing officer or a growth lead. Search side and answer side, including Generative AI impressions in Google Search Console. One method for getting found and cited, not two organic retainers. Moving target, not panic. Generative AI reporting and the include or exclude control only rolled worldwide at the end of August. Name an owner, review monthly, audit quarterly. The habit is the product. Homework before Thursday. Name the owner. Open the Generative AI report. Ask five real buyer questions where buyers ask. Write down who gets named. Sources: Google Search Central, Optimizing for generative AI features: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide Google Search Central, AI features and your website: https://developers.google.com/search/docs/appearance/ai-features Google Search Central blog, Generative AI performance reports (Jun 3, 2026; worldwide Aug 31, 2026): https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports Search Console help, Generative AI performance report: https://support.google.com/webmasters/answer/16984139 Search Console help, Search generative AI control: https://support.google.com/webmasters/answer/16908024 Pew Research Center, Jul 22, 2025: https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/ The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
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About YPO Technology Network AI Brief
AI moves fast. Your briefing should move faster. The YPO Technology Network AI Brief is a daily breakdown of the AI developments that actually matter to your business. No hype, no jargon, no filler — just what changed, what it costs you or saves you, and what to tell your team on Monday. Hosted by Stephen Forte for the leaders who don't have time to chase the news but can't afford to miss it.
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